Update
Browse files- app.py +5 -14
- requirements.txt +1 -2
app.py
CHANGED
@@ -12,6 +12,8 @@ checkpoints = [
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"qanastek/pos-french",
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]
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@st.cache(suppress_st_warning=True, allow_output_mutation=True)
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def get_model(model_name):
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return SequenceTagger.load(model_name) # Load the model
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@@ -28,17 +30,7 @@ def getPos(s: Sentence):
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def getDictFromPOS(texts, labels):
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return [{ "text": t, "label": l } for t, l in zip(texts, labels)]
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def
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rgb = (random.uniform(0.0,1.0), random.uniform(0.0,1.0), random.uniform(0.0,1.0))
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hsl = (random.uniform(0.0,1.0), random.uniform(0.35,1.0), 0.75)
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return str(Color(rgb=rgb, hsl=hsl))
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def get_colors(model):
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labels = [t.decode("utf-8") for t in model.tag_dictionary.idx2item if t.isupper() and len(t) > 1]
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colors = [randomColor() for t in model.tag_dictionary.idx2item if t.isupper() and len(t) > 1]
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return dict(zip(labels, colors))
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def getAnnotatedFromPOS(texts, labels, colors):
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return [(t,l,colors[l]) for t, l in zip(texts, labels)]
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def main():
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@@ -47,8 +39,7 @@ def main():
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checkpoint = st.selectbox("Choose model", checkpoints)
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model = get_model(checkpoint)
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default_text = "George Washington est allé à Washington"
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input_text = st.text_area(
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label="Original text",
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@@ -71,7 +62,7 @@ def main():
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texts, labels = getPos(s)
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st.header("Labels:")
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anns = getAnnotatedFromPOS(texts, labels
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annotated_text(*anns)
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st.header("JSON:")
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"qanastek/pos-french",
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]
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+
colors = {'DET': '#b9d9a6', 'NFP': '#eddc92', 'ADJFP': '#95e9d7', 'AUX': '#e797db', 'VPPMS': '#9ff48b', 'ADV': '#ed92b4', 'PREP': '#decfa1', 'PDEMMS': '#ada7d7', 'NMS': '#85fad8', 'COSUB': '#8ba4f4', 'PINDMS': '#e7a498', 'PPOBJMS': '#e5c79a', 'VERB': '#eb94b6', 'DETFS': '#e698ae', 'NFS': '#d9d1a6', 'YPFOR': '#96e89f', 'VPPFS': '#e698c6', 'PUNCT': '#ddbfa2', 'DETMS': '#f788cd', 'PROPN': '#f19c8d', 'ADJMS': '#8ed5f0', 'PPER3FS': '#c4d8a6', 'ADJFS': '#e39bdc', 'COCO': '#8df1e2', 'NMP': '#d7f787', 'PREL': '#f986f0', 'PPER1S': '#878df8', 'ADJMP': '#83fe80', 'VPPMP': '#a6d8c9', 'DINTMS': '#d9a6cc', 'PPER3MS': '#a1deda', 'PPER3MP': '#8fefe1', 'PREF': '#e3c79b', 'ADJ': '#fb81fe', 'DINTFS': '#d5fe81', 'CHIF': '#8084ff', 'XFAMIL': '#dd80fe', 'PRELFS': '#9ce3e3', 'SYM': '#9fbddf', 'NOUN': '#dea1b5', 'MOTINC': '#93b8ec', 'PINDFS': '#f787a5', 'PPOBJMP': '#dca3d2', 'NUM': '#b2e897', 'PREFP': '#e39cd0', 'PDEMFS': '#d8a7cb', 'VPPFP': '#83d9fb', 'PPER3FP': '#a1ddaa', 'PPOBJFS': '#e9ca95', 'PINDMP': '#e897e3', 'PRON': '#e29dcc', 'PPOBJFP': '#86f9dc', 'PART': '#aa96e8', 'PDEMMP': '#b2d7a8', 'PRELMS': '#e39bde', 'PDEMFP': '#b1e599', 'PRELFP': '#bbe39b', 'INTJ': '#bde996', 'PREFS': '#b39be4', 'PINDFP': '#e2e897', 'PRELMP': '#a5c0da', 'PINTFS': '#ceff80', 'PPER2S': '#d5a2dd', 'VPPRE': '#e78af4', '<START>': '#e6a899', '<STOP>': '#9adde5'}
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+
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@st.cache(suppress_st_warning=True, allow_output_mutation=True)
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def get_model(model_name):
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return SequenceTagger.load(model_name) # Load the model
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def getDictFromPOS(texts, labels):
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return [{ "text": t, "label": l } for t, l in zip(texts, labels)]
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def getAnnotatedFromPOS(texts, labels):
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return [(t,l,colors[l]) for t, l in zip(texts, labels)]
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def main():
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checkpoint = st.selectbox("Choose model", checkpoints)
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model = get_model(checkpoint)
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+
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default_text = "George Washington est allé à Washington"
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input_text = st.text_area(
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label="Original text",
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texts, labels = getPos(s)
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st.header("Labels:")
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anns = getAnnotatedFromPOS(texts, labels)
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annotated_text(*anns)
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st.header("JSON:")
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requirements.txt
CHANGED
@@ -1,3 +1,2 @@
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flair==0.8.0.post1
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st-annotated-text
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colour
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flair==0.8.0.post1
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st-annotated-text
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